The impact of selection of reference samples and DEM on the accuracy of land cover classification based on Sentinel-2 data

Author:

Waśniewski AdamORCID,Hościło AgataORCID,Aune-Lundberg LindaORCID

Funder

Narodowe Centrum Badań i Rozwoju

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference75 articles.

1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data;Abdi;GIScience Remote Sens.,2020

2. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers;Adam;Int. J. Rem. Sens.,2014

3. Urban land use and land cover change analysis using random forest classification of Landsat time series;Amini;Rem. Sens.,2022

4. The content and accuracy of the CORINE Land Cover dataset for Norway;Aune-Lundberg;Int. J. Appl. Earth Obs. Geoinf.,2021

5. GLC 2000: Global Land Cover Mapping for the Year 2000: Project Status November 2002;Bartholomé,2002

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